Designing
Intelligent Physical
Interactions.
Crafting the future of human-machine coexistence—bridging intelligent systems and rich human experiences by integrating Physical AI, Robotics, Computer Vision, and Human-Computer Interaction.
My research explores diverse ways to enrich everyday life, from designing novel sensory interfaces to developing advanced Physical AI. Currently, I focus on integrating the nuances of human behavior into robotic systems using Vision-Language-Action models (VLA) for high-precision control. Ultimately, I aim to create calm, intelligent robots that seamlessly blend into our future routines, supporting us naturally without disrupting our environment.
Daiki Mayumi
I received Doctor of Engineering from the Nara Institute of Science and Technology (NAIST) and a Doctor of Natural Science (Dr. rer. nat.) from Ulm University (Germany) through a double degree program in 2026. I am currently a research scientist at NTT, Inc., Human Informatics Laboratories, where my work bridges Physical AI, Robotics, and Human-Computer Interaction (HCI). My research focuses on designing calm, embodied AI systems that seamlessly integrate into everyday life to foster positive behavior change.
Education
Doctor of Engineering
Ph.D Course of Information Science, Nara Institute of Science and Technology (Japan)
Master of Engineering
Master's Course of Information Science, Nara Institute of Science and Technology (Japan)
Work Experience
NTT, Inc., Human Informatics Laboratories, Researcher
SPRING : Support for Pioneering Research Initiated by the Next Generation
- Kaolid+: A Lid-Type Olfactory Interface for Modulating Sweetness Perception
- BubblEat: Designing a Bubble-Based Olfactory Delivery for Retronasal Smell in Every Spoonful
- Aromug: a Mug-type Olfactory Interface to Enhance the Sweetness Perception of Beverages
- Kaolid: a Lid-type Olfactory Interface to Present Retronasal Smell towards Beverage Flavor Augmentation Best Paper Candidate Award